Open AccessProcess Mining in Supply the Need for Rule-Based Knowledge Abstraction
Author(s) -
P. Shirisha
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1365.0986s319
Subject(s) - abstraction , computer science , business process discovery , process mining , corporation , business process , domain (mathematical analysis) , data mining , business process modeling , process (computing) , business rule , artifact centric business process model , measure (data warehouse) , business domain , data science , process management , knowledge management , business , work in process , engineering , operations management , mathematical analysis , mathematics , epistemology , finance , philosophy , operating system
Organizations struggle to achieve insight in however their business processes square measure conducted actually. Method mining allows organizations to extract this data} by analyzing business events recorded in their information systems. However, the business events recorded in these systems don't forever mirror constant level of abstraction because the desired method model that's employed by the business. Current method mining approaches offer light attention to the current gap. This paper proposes many information preparation strategies that apply provision domain information for method mining the fabric movements among a corporation additionally, associate degree custom-made method mining project methodology is bestowed that expressly includes these preparation strategies.